Face recognition systems: A survey
Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …
growing rapidly. Video surveillance, criminal identification, building access control, and …
Deep embedded hybrid CNN–LSTM network for lane detection on NVIDIA Jetson Xavier NX
In recent years, lane detection has become one of the most important factors in the progress
of intelligent vehicles. To deal with the challenging problem of low detection precision and …
of intelligent vehicles. To deal with the challenging problem of low detection precision and …
A Comprehensive Review of Face Recognition Techniques, Trends and Challenges
Face Recognition (FR) is the technology used to identify and verify individuals based on
their facial features. In recent decades, FR plays a crucial role in various sectors, including …
their facial features. In recent decades, FR plays a crucial role in various sectors, including …
[HTML][HTML] An ensemble face recognition mechanism based on three-way decisions
The explainable human–computer interaction (HCI) is about designing approaches capable
of using cognitive characteristics like humans. One such characteristic is human vision and …
of using cognitive characteristics like humans. One such characteristic is human vision and …
Comparison of Haar-like, HOG and LBP approaches for face detection in video sequences
A Adouani, WMB Henia, Z Lachiri - 2019 16th International Multi …, 2019 - ieeexplore.ieee.org
Face detection is an essential part of any face recognition system as a first step to detect
faces. This paper presents a comparative study of three commonly used approaches for face …
faces. This paper presents a comparative study of three commonly used approaches for face …
Custom face classification model for classroom using haar-like and lbp features with their performance comparisons
Face detection by electronic systems has been leveraged by private and government
establishments to enhance the effectiveness of a wide range of applications in our day to …
establishments to enhance the effectiveness of a wide range of applications in our day to …
An analysis of body language of patients using artificial intelligence
In recent decades, epidemic and pandemic illnesses have grown prevalent and are a
regular source of concern throughout the world. The extent to which the globe has been …
regular source of concern throughout the world. The extent to which the globe has been …
Deep Learning Based Multi Pose Human Face Matching System
M Sohail, IA Shoukat, H Fatima, MR Jafri… - IEEE …, 2024 - ieeexplore.ieee.org
Current techniques for multi-pose human face matching yield suboptimal outcomes because
of the intricate nature of pose equalization and face rotation. Deep learning models, such as …
of the intricate nature of pose equalization and face rotation. Deep learning models, such as …
Building and validation of a set of facial expression images to detect emotions: a transcultural study
The automatic emotion recognition from facial expressions has become an exceptional tool
in research involving human subjects and has made it possible to obtain objective …
in research involving human subjects and has made it possible to obtain objective …
Face mask wearing detection using support vector machine (SVM)
As an effort to prevent the spread of the Covid-19, various countries have implemented
health protocol policies such as work-from-home, social distancing, and face mask-wearing …
health protocol policies such as work-from-home, social distancing, and face mask-wearing …